Using Large Datasets to Understand Nanotechnology
Identifieur interne : 000288 ( Main/Exploration ); précédent : 000287; suivant : 000289Using Large Datasets to Understand Nanotechnology
Auteurs : Kalina Paunovska [États-Unis] ; David Loughrey [États-Unis] ; Cory D. Sago [États-Unis] ; Robert Langer [États-Unis] ; James E. Dahlman [États-Unis]Source :
- Advanced materials (Deerfield Beach, Fla.) [ 0935-9648 ] ; 2019.
Abstract
Advances in sequencing technologies have made studying biological processes with genomics, transcriptomics, and proteomics commonplace. As a result, this suite of increasingly integrated techniques is well positioned to study drug delivery, a process that is influenced by many biomolecules working in concert. Here we describe how omics-based approaches can be used to study the vast nanomaterial chemical space as well as the biological factors that affect the safety, toxicity, and efficacy of nanotechnologies. We focus on the generation and analysis of large datasets, describing methods to interpret them. We also describe how these datasets have been applied to nanomaterials to date. Finally, we propose new ways sequencing datasets can answer fundamental questions in nanotechnology-based drug delivery.
Url:
DOI: 10.1002/adma.201902798
PubMed: 31429126
PubMed Central: 6810779
Affiliations:
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Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory School of Medicine, Atlanta, GA, 30332, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory School of Medicine, Atlanta, GA, 30332</wicri:regionArea><wicri:noRegion>30332</wicri:noRegion></affiliation></author><author><name sortKey="Loughrey, David" sort="Loughrey, David" uniqKey="Loughrey D" first="David" last="Loughrey">David Loughrey</name><affiliation wicri:level="1"><nlm:aff id="A1">Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory School of Medicine, Atlanta, GA, 30332, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Wallace H. 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Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory School of Medicine, Atlanta, GA, 30332</wicri:regionArea><wicri:noRegion>30332</wicri:noRegion></affiliation></author></analytic><series><title level="j">Advanced materials (Deerfield Beach, Fla.)</title><idno type="ISSN">0935-9648</idno><idno type="eISSN">1521-4095</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Advances in sequencing technologies have made studying biological processes with genomics, transcriptomics, and proteomics commonplace. As a result, this suite of increasingly integrated techniques is well positioned to study drug delivery, a process that is influenced by many biomolecules working in concert. Here we describe how omics-based approaches can be used to study the vast nanomaterial chemical space as well as the biological factors that affect the safety, toxicity, and efficacy of nanotechnologies. We focus on the generation and analysis of large datasets, describing methods to interpret them. We also describe how these datasets have been applied to nanomaterials to date. Finally, we propose new ways sequencing datasets can answer fundamental questions in nanotechnology-based drug delivery.</p></div></front></TEI><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Paunovska, Kalina" sort="Paunovska, Kalina" uniqKey="Paunovska K" first="Kalina" last="Paunovska">Kalina Paunovska</name></noRegion><name sortKey="Dahlman, James E" sort="Dahlman, James E" uniqKey="Dahlman J" first="James E." last="Dahlman">James E. Dahlman</name><name sortKey="Langer, Robert" sort="Langer, Robert" uniqKey="Langer R" first="Robert" last="Langer">Robert Langer</name><name sortKey="Langer, Robert" sort="Langer, Robert" uniqKey="Langer R" first="Robert" last="Langer">Robert Langer</name><name sortKey="Loughrey, David" sort="Loughrey, David" uniqKey="Loughrey D" first="David" last="Loughrey">David Loughrey</name><name sortKey="Sago, Cory D" sort="Sago, Cory D" uniqKey="Sago C" first="Cory D." last="Sago">Cory D. Sago</name><name sortKey="Sago, Cory D" sort="Sago, Cory D" uniqKey="Sago C" first="Cory D." last="Sago">Cory D. Sago</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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